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Bei Li

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:13 AM AMS

3

papers

26

total citations

papers (3)

GRAM: A Generative Foundation Reward Model for Reward Generalization

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization

NEURIPS 2025arXiv